Casal2 Test Case MPD comparisons for HOK

1 HOK comparison of CASAL and Casal2 model configurations

This document compares the results of at least 2 CASAL model configurations (base and at least one sensitivity) and up to 6 Casal2 model configurations (3 BetaDiff and 3 ADOL-C).

The CASAL model sensitivity 1 has a smaller minimisation tolerance value than the CASAL base model (1e-9 vs. 1e-6).

The Casal2 ADOL-C and BetaDiff low tolerance models have a smaller tolerance value than the CASAL base model (1e-9 vs. 1e-6).

1.1 HOK model characteristics

The main characteristics of the Test Case HOK (hoki) CASAL model are:

• one stock, ages 1 - 17
• one area, although many characteristics are separated into “east” and “west”
• years 1972 - 2018, projection years 2019 - 2023
• five time steps: Oct_Nov, Dec_Mar, Apr_Jun, End_Jun, and Jul_Sep
• five stock categories: west.sa, east.cr, west.cr, west.wc, and east.cs (labeled “stock.area”)
• five migration processes, which have age-specific proportions specified
• sex-specific natural mortality-at-age is double exponential
• area-specific von Bertalanffy age-length relationship
• area-specific length-weight relationship (\(W = aL^b\))
• area-specific Beverton-Holt stock-recruitment relationships, with steepness (h) 0.75
• ageing error is specified
• surveys with double normal selectivity
• six area-specific fisheries with double normal selectivity

Observation data include:

• survey indices
• survey proportions-at-age
• fishery proportions-at-age

Parameters estimated include:

• area-specific B0
• parameters for the natural mortality-at-age ogive
• catchability (q) for the surveys
• parameters for the selectivity curves for the surveys
• parameters for the selectivity curves for the fisheries
• migration proportions by age
• area-specific YCS (recruitment deviations)

1.2 R environment

## [1] "Mon Sep 27 11:39:14 2021"
## R version 3.6.3 (2020-02-29)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Debian GNU/Linux 11 (bullseye)
## 
## Matrix products: default
## BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0
## 
## locale:
##  [1] LC_CTYPE=en_NZ.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_NZ.UTF-8        LC_COLLATE=en_NZ.UTF-8    
##  [5] LC_MONETARY=en_NZ.UTF-8    LC_MESSAGES=en_NZ.UTF-8   
##  [7] LC_PAPER=en_NZ.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_NZ.UTF-8 LC_IDENTIFICATION=C       
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] Casal2_21.08   casal_2.30     devtools_2.4.2 usethis_2.0.1  rlist_0.4.6.2 
##  [6] ggthemes_4.2.4 gridExtra_2.3  coda_0.19-4    ggmcmc_1.5.1.1 ggplot2_3.3.5 
## [11] tidyr_1.1.3    huxtable_5.4.0 dplyr_1.0.7    plyr_1.8.6    
## 
## loaded via a namespace (and not attached):
##  [1] Rcpp_1.0.7         lattice_0.20-41    prettyunits_1.1.1  ps_1.6.0          
##  [5] assertthat_0.2.1   rprojroot_2.0.2    digest_0.6.27      utf8_1.2.2        
##  [9] R6_2.5.1           evaluate_0.14      pillar_1.6.2       rlang_0.4.11      
## [13] rstudioapi_0.13    data.table_1.14.0  callr_3.7.0        jquerylib_0.1.4   
## [17] rmarkdown_2.11     desc_1.3.0         stringr_1.4.0      munsell_0.5.0     
## [21] compiler_3.6.3     xfun_0.26          pkgconfig_2.0.3    pkgbuild_1.2.0    
## [25] htmltools_0.5.2    tidyselect_1.1.1   tibble_3.1.4       reshape_0.8.8     
## [29] fansi_0.5.0        crayon_1.4.1       withr_2.4.2        grid_3.6.3        
## [33] jsonlite_1.7.2     GGally_2.1.2       gtable_0.3.0       lifecycle_1.0.0   
## [37] DBI_1.1.1          magrittr_2.0.1     scales_1.1.1       cli_3.0.1         
## [41] stringi_1.7.4      cachem_1.0.6       remotes_2.4.0      fs_1.5.0          
## [45] testthat_3.0.4     bslib_0.3.0        ellipsis_0.3.2     generics_0.1.0    
## [49] vctrs_0.3.8        RColorBrewer_1.1-2 tools_3.6.3        glue_1.4.2        
## [53] purrr_0.3.4        processx_3.5.2     pkgload_1.2.2      fastmap_1.1.0     
## [57] yaml_2.2.1         colorspace_2.0-2   sessioninfo_1.1.1  memoise_2.0.0     
## [61] knitr_1.34         sass_0.4.0

1.3 CASAL and Casal2 model output

source('../../R-functions/report_read_in_CASAL_MPD_files.R')

source('../../R-functions/report_read_in_Casal2_MPD_files.R')

1.4 Tables

Tables of parameter estimates and objective function components for the CASAL and Casal2 model MPD results

CASAL parameter estimates

rownames	Base_Model	Sensitivity_1	Percent_Diff
q[CSacous].q	0.43120	0.43120	0.000
q[WCacous].q	0.30030	0.30020	0.033
q[CRsum].q	0.07431	0.07431	0.000
q[SAsum].q	0.05925	0.05925	0.000
q[SAaut].q	0.06717	0.06717	0.000
relative_abundance[CRsumbio].cv_process_error	0.14050	0.14050	0.000
relative_abundance[SAsumbio].cv_process_error	0.43060	0.43060	0.000
log_B0_total	14.34000	14.34000	0.000
B0_prop_stock1	0.32870	0.32870	0.000
natural_mortality.all	0.29600	0.29600	0.000
selectivity[Wspsl].shift_a	-0.21740	-0.21740	0.000
recruitment[E].YCS1	0.44780	0.44780	0.000
recruitment[E].YCS2	0.72680	0.72680	0.000
recruitment[E].YCS3	0.78450	0.78450	0.000
recruitment[E].YCS4	1.36000	1.36000	0.000
recruitment[E].YCS5	0.98770	0.98780	-0.010
recruitment[E].YCS6	0.32930	0.32930	0.000
recruitment[E].YCS7	0.44720	0.44720	0.000
recruitment[E].YCS8	0.26560	0.26560	0.000
recruitment[E].YCS9	0.43420	0.43420	0.000
recruitment[E].YCS10	0.48800	0.48800	0.000
recruitment[E].YCS11	0.39570	0.39570	0.000
recruitment[E].YCS12	0.21790	0.21790	0.000
recruitment[E].YCS13	1.03600	1.03600	0.000
recruitment[E].YCS14	0.95890	0.95890	0.000
recruitment[E].YCS15	0.42900	0.42900	0.000
recruitment[E].YCS16	0.13810	0.13810	0.000
recruitment[E].YCS17	0.37500	0.37500	0.000
recruitment[E].YCS18	0.39170	0.39160	0.026
recruitment[E].YCS19	0.38310	0.38310	0.000
recruitment[E].YCS20	0.56290	0.56290	0.000
recruitment[E].YCS21	0.26400	0.26400	0.000
recruitment[E].YCS22	0.28450	0.28450	0.000
recruitment[E].YCS23	0.45000	0.45000	0.000
recruitment[E].YCS24	0.25310	0.25310	0.000
recruitment[E].YCS25	0.06000	0.06000	0.000
recruitment[E].YCS26	0.46220	0.46220	0.000
recruitment[E].YCS27	0.16160	0.16160	0.000
recruitment[E].YCS28	0.26690	0.26690	0.000
recruitment[E].YCS29	0.50040	0.50040	0.000
recruitment[E].YCS30	0.52000	0.52000	0.000
recruitment[E].YCS31	0.50880	0.50880	0.000
recruitment[E].YCS32	0.60060	0.60060	0.000
recruitment[E].YCS33	0.52210	0.52210	0.000
recruitment[E].YCS34	0.37300	0.37300	0.000
recruitment[E].YCS35	0.52680	0.52680	0.000
recruitment[E].YCS36	0.15860	0.15860	0.000
recruitment[E].YCS37	0.66060	0.66060	0.000
recruitment[E].YCS38	0.15600	0.15600	0.000
recruitment[E].YCS39	0.18580	0.18580	0.000
recruitment[E].YCS40	0.73060	0.73060	0.000
recruitment[E].YCS41	0.73910	0.73900	0.014
recruitment[E].YCS42	1.19500	1.19500	0.000
recruitment[W].YCS1	0.45700	0.45700	0.000
recruitment[W].YCS2	0.82220	0.82220	0.000
recruitment[W].YCS3	0.67000	0.67000	0.000
recruitment[W].YCS4	0.65390	0.65390	0.000
recruitment[W].YCS5	0.46590	0.46590	0.000
recruitment[W].YCS6	0.51510	0.51510	0.000
recruitment[W].YCS7	0.57820	0.57820	0.000
recruitment[W].YCS8	0.47330	0.47330	0.000
recruitment[W].YCS9	0.87190	0.87190	0.000
recruitment[W].YCS10	0.83640	0.83650	-0.012
recruitment[W].YCS11	0.32020	0.32020	0.000
recruitment[W].YCS12	0.16500	0.16500	0.000
recruitment[W].YCS13	1.47600	1.47600	0.000
recruitment[W].YCS14	0.77270	0.77280	-0.013
recruitment[W].YCS15	0.08135	0.08135	0.000
recruitment[W].YCS16	0.08158	0.08158	0.000
recruitment[W].YCS17	0.89280	0.89280	0.000
recruitment[W].YCS18	1.26800	1.26800	0.000
recruitment[W].YCS19	0.37720	0.37720	0.000
recruitment[W].YCS20	0.95940	0.95940	0.000
recruitment[W].YCS21	0.22110	0.22110	0.000
recruitment[W].YCS22	0.19720	0.19720	0.000
recruitment[W].YCS23	0.23790	0.23800	-0.042
recruitment[W].YCS24	0.20290	0.20290	0.000
recruitment[W].YCS25	0.06000	0.06000	0.000
recruitment[W].YCS26	0.37300	0.37300	0.000
recruitment[W].YCS27	0.09548	0.09548	0.000
recruitment[W].YCS28	0.79560	0.79560	0.000
recruitment[W].YCS29	0.46520	0.46520	0.000
recruitment[W].YCS30	0.51660	0.51660	0.000
recruitment[W].YCS31	0.51130	0.51130	0.000
recruitment[W].YCS32	0.75540	0.75540	0.000
recruitment[W].YCS33	0.63890	0.63890	0.000
recruitment[W].YCS34	0.61690	0.61690	0.000
recruitment[W].YCS35	0.57840	0.57840	0.000
recruitment[W].YCS36	0.14550	0.14550	0.000
recruitment[W].YCS37	0.97480	0.97480	0.000
recruitment[W].YCS38	0.16020	0.16020	0.000
recruitment[W].YCS39	0.24440	0.24440	0.000
recruitment[W].YCS40	2.19700	2.19700	0.000
recruitment[W].YCS41	2.15200	2.15200	0.000
recruitment[W].YCS42	1.19500	1.19500	0.000
migration[Whome].rates_all1	0.32780	0.32780	0.000
migration[Whome].rates_all2	0.30780	0.30780	0.000
migration[Whome].rates_all3	0.47620	0.47620	0.000
migration[Whome].rates_all4	0.14180	0.14180	0.000
migration[Whome].rates_all5	0.46850	0.46840	0.021
migration[Whome].rates_all6	0.74980	0.75030	-0.067
migration[Whome].rates_all7	0.79470	0.78840	0.793
migration[Whome].rates_all8	1.00000	1.00000	0.000
migration[Espmg].rates_all1	0.00566	0.00566	0.000
migration[Espmg].rates_all2	0.16020	0.16020	0.000
migration[Espmg].rates_all3	0.32410	0.32410	0.000
migration[Espmg].rates_all4	0.43120	0.43120	0.000
migration[Espmg].rates_all5	0.38550	0.38550	0.000
migration[Espmg].rates_all6	0.46540	0.46530	0.021
migration[Espmg].rates_all7	0.59900	0.59900	0.000
migration[Espmg].rates_all8	0.60780	0.60780	0.000
migration[Wspmg].rates_all1	0.10610	0.10610	0.000
migration[Wspmg].rates_all2	0.28770	0.28770	0.000
migration[Wspmg].rates_all3	0.27080	0.27080	0.000
migration[Wspmg].rates_all4	0.45530	0.45530	0.000
migration[Wspmg].rates_all5	0.48470	0.48470	0.000
migration[Wspmg].rates_all6	0.52710	0.52710	0.000
migration[Wspmg].rates_all7	0.66060	0.66060	0.000
migration[Wspmg].rates_all8	0.59630	0.59630	0.000
selectivity[Enspsl].all1	3.56700	3.56700	0.000
selectivity[Enspsl].all2	1.22100	1.22100	0.000
selectivity[Enspsl].all3	15.71000	15.71000	0.000
selectivity[Wnspsl].all1	5.34100	5.34100	0.000
selectivity[Wnspsl].all2	2.83900	2.83900	0.000
selectivity[Wnspsl].all3	13.38000	13.38000	0.000
selectivity[Espsl].all1	10.88000	10.88000	0.000
selectivity[Espsl].all2	11.68000	11.68000	0.000
selectivity[Espsl].all3	3.98200	3.98200	0.000
selectivity[CRsl].all1	1.00000	1.00000	0.000
selectivity[CRsl].all2	1.00000	1.00000	0.000
selectivity[CRsl].all3	9.30000	9.30000	0.000
selectivity[SAsl].all1	14.25000	14.25000	0.000
selectivity[SAsl].all2	8.75500	8.75600	-0.011
selectivity[SAsl].all3	1.31500	1.31500	0.000

Casal2 parameter estimates

rownames	betadiff_casal_flags_on	betadiff_casal_flags_off	betadiff_casal_flags_on_low_tol	adolc_casal_flags_on	adolc_casal_flags_off	adolc_casal_flags_on_low_tol
catchability[CSacous].q	0.42724	0.42724	0.43116	0.43620	0.43759	0.43620
catchability[WCacous].q	0.31284	0.31284	0.30024	0.27935	0.27865	0.27935
catchability[CRsum].q	0.06832	0.06832	0.07431	0.07882	0.07810	0.07882
catchability[SAsum].q	0.06717	0.06717	0.05925	0.04682	0.04672	0.04682
catchability[SAaut].q	0.07578	0.07578	0.06717	0.05069	0.05056	0.05069
observation[CRsumbio].process_error	0.14094	0.14094	0.14048	0.14988	0.15002	0.14988
observation[SAsumbio].process_error	0.42364	0.42364	0.43061	0.40719	0.40768	0.40719
process[recruit_E].b0	548395.00000	548396.00000	555125.00000	563986.00000	561577.00000	563986.00000
process[recruit_W].b0	1082670.00000	1082670.00000	1133680.00000	1221080.00000	1221480.00000	1221080.00000
process[Instant_mortality].m{west.sa}	0.31271	0.31271	0.29598	0.27060	0.27154	0.27060
time_varying[shifted_mu].a	-0.22921	-0.22921	-0.21744	-0.17152	-0.17186	-0.17152
process[recruit_E].ycs_values{1975}	0.44537	0.44537	0.44782	0.44167	0.44318	0.44167
process[recruit_E].ycs_values{1976}	0.72939	0.72939	0.72680	0.70574	0.70766	0.70574
process[recruit_E].ycs_values{1977}	0.79231	0.79231	0.78454	0.75884	0.76047	0.75884
process[recruit_E].ycs_values{1978}	1.38644	1.38644	1.36001	1.30303	1.30519	1.30303
process[recruit_E].ycs_values{1979}	1.00265	1.00265	0.98776	0.95102	0.95419	0.95102
process[recruit_E].ycs_values{1980}	0.33437	0.33437	0.32932	0.31978	0.31930	0.31978
process[recruit_E].ycs_values{1981}	0.45502	0.45502	0.44723	0.43168	0.43209	0.43168
process[recruit_E].ycs_values{1982}	0.26974	0.26974	0.26556	0.25758	0.25761	0.25758
process[recruit_E].ycs_values{1983}	0.44106	0.44106	0.43418	0.42106	0.42158	0.42106
process[recruit_E].ycs_values{1984}	0.49412	0.49412	0.48804	0.47614	0.47603	0.47614
process[recruit_E].ycs_values{1985}	0.40010	0.40010	0.39570	0.38700	0.38691	0.38700
process[recruit_E].ycs_values{1986}	0.21978	0.21978	0.21791	0.21374	0.21422	0.21374
process[recruit_E].ycs_values{1987}	1.04131	1.04131	1.03640	1.01708	1.01531	1.01708
process[recruit_E].ycs_values{1988}	0.96346	0.96346	0.95891	0.93010	0.92926	0.93010
process[recruit_E].ycs_values{1989}	0.43095	0.43095	0.42899	0.42637	0.42657	0.42637
process[recruit_E].ycs_values{1990}	0.13797	0.13797	0.13810	0.13928	0.13924	0.13928
process[recruit_E].ycs_values{1991}	0.37385	0.37385	0.37500	0.37096	0.36961	0.37096
process[recruit_E].ycs_values{1992}	0.38858	0.38858	0.39164	0.38824	0.38668	0.38824
process[recruit_E].ycs_values{1993}	0.37995	0.37995	0.38310	0.38962	0.38912	0.38962
process[recruit_E].ycs_values{1994}	0.55794	0.55794	0.56285	0.55222	0.55037	0.55222
process[recruit_E].ycs_values{1995}	0.26178	0.26178	0.26399	0.26626	0.26598	0.26626
process[recruit_E].ycs_values{1996}	0.28251	0.28251	0.28447	0.28908	0.28876	0.28908
process[recruit_E].ycs_values{1997}	0.44781	0.44781	0.45003	0.45114	0.45042	0.45114
process[recruit_E].ycs_values{1998}	0.25264	0.25264	0.25307	0.25152	0.25106	0.25152
process[recruit_E].ycs_values{1999}	0.06000	0.06000	0.06000	0.06048	0.06044	0.06048
process[recruit_E].ycs_values{2000}	0.46013	0.46013	0.46220	0.46474	0.46387	0.46474
process[recruit_E].ycs_values{2001}	0.16086	0.16086	0.16165	0.16498	0.16478	0.16498
process[recruit_E].ycs_values{2002}	0.26611	0.26611	0.26689	0.26551	0.26408	0.26551
process[recruit_E].ycs_values{2003}	0.49959	0.49959	0.50038	0.50597	0.50549	0.50597
process[recruit_E].ycs_values{2004}	0.52053	0.52053	0.52003	0.52518	0.52434	0.52518
process[recruit_E].ycs_values{2005}	0.50764	0.50764	0.50882	0.51677	0.51627	0.51677
process[recruit_E].ycs_values{2006}	0.60013	0.60013	0.60055	0.60790	0.60732	0.60790
process[recruit_E].ycs_values{2007}	0.52088	0.52087	0.52215	0.53999	0.53977	0.53999
process[recruit_E].ycs_values{2008}	0.37115	0.37115	0.37300	0.37597	0.37447	0.37597
process[recruit_E].ycs_values{2009}	0.52790	0.52790	0.52681	0.54832	0.54813	0.54832
process[recruit_E].ycs_values{2010}	0.15695	0.15695	0.15864	0.16520	0.16516	0.16520
process[recruit_E].ycs_values{2011}	0.66047	0.66047	0.66058	0.68209	0.68152	0.68209
process[recruit_E].ycs_values{2012}	0.15554	0.15554	0.15600	0.16173	0.16198	0.16173
process[recruit_E].ycs_values{2013}	0.18518	0.18518	0.18584	0.19330	0.19292	0.19330
process[recruit_E].ycs_values{2014}	0.72844	0.72844	0.73062	0.77024	0.77017	0.77024
process[recruit_E].ycs_values{2015}	0.75586	0.75587	0.73900	0.68398	0.67924	0.68398
process[recruit_E].ycs_values{2016}	1.18886	1.18886	1.19515	1.31821	1.31921	1.31821
process[recruit_W].ycs_values{1975}	0.45869	0.45869	0.45702	0.47553	0.47402	0.47553
process[recruit_W].ycs_values{1976}	0.81422	0.81422	0.82218	0.84090	0.84341	0.84090
process[recruit_W].ycs_values{1977}	0.68515	0.68515	0.67000	0.66715	0.66688	0.66715
process[recruit_W].ycs_values{1978}	0.66937	0.66937	0.65390	0.65097	0.64955	0.65097
process[recruit_W].ycs_values{1979}	0.47307	0.47307	0.46590	0.46651	0.46803	0.46651
process[recruit_W].ycs_values{1980}	0.52064	0.52064	0.51512	0.52125	0.52010	0.52125
process[recruit_W].ycs_values{1981}	0.58344	0.58344	0.57824	0.58825	0.58791	0.58825
process[recruit_W].ycs_values{1982}	0.47462	0.47462	0.47328	0.48298	0.48290	0.48298
process[recruit_W].ycs_values{1983}	0.87309	0.87309	0.87192	0.89839	0.89765	0.89839
process[recruit_W].ycs_values{1984}	0.83633	0.83633	0.83646	0.86888	0.86846	0.86888
process[recruit_W].ycs_values{1985}	0.31942	0.31942	0.32024	0.33129	0.33218	0.33129
process[recruit_W].ycs_values{1986}	0.16493	0.16493	0.16497	0.16871	0.16903	0.16871
process[recruit_W].ycs_values{1987}	1.48007	1.48007	1.47555	1.55598	1.55512	1.55598
process[recruit_W].ycs_values{1988}	0.77454	0.77454	0.77276	0.80890	0.81064	0.80890
process[recruit_W].ycs_values{1989}	0.08148	0.08148	0.08134	0.08147	0.08139	0.08147
process[recruit_W].ycs_values{1990}	0.08183	0.08183	0.08158	0.08038	0.08152	0.08038
process[recruit_W].ycs_values{1991}	0.89197	0.89197	0.89280	0.85072	0.85283	0.85072
process[recruit_W].ycs_values{1992}	1.26757	1.26758	1.26778	1.25160	1.25074	1.25160
process[recruit_W].ycs_values{1993}	0.37652	0.37652	0.37722	0.37548	0.37518	0.37548
process[recruit_W].ycs_values{1994}	0.95579	0.95579	0.95939	0.99401	0.99334	0.99401
process[recruit_W].ycs_values{1995}	0.22026	0.22026	0.22113	0.22183	0.22155	0.22183
process[recruit_W].ycs_values{1996}	0.19632	0.19632	0.19718	0.18694	0.18693	0.18694
process[recruit_W].ycs_values{1997}	0.23643	0.23643	0.23795	0.23396	0.23508	0.23396
process[recruit_W].ycs_values{1998}	0.20041	0.20041	0.20292	0.21078	0.21116	0.21078
process[recruit_W].ycs_values{1999}	0.06000	0.06000	0.06000	0.06039	0.06036	0.06039
process[recruit_W].ycs_values{2000}	0.37089	0.37089	0.37304	0.37912	0.38023	0.37912
process[recruit_W].ycs_values{2001}	0.09506	0.09506	0.09548	0.09664	0.09671	0.09664
process[recruit_W].ycs_values{2002}	0.79553	0.79553	0.79558	0.79915	0.80116	0.79915
process[recruit_W].ycs_values{2003}	0.46570	0.46570	0.46517	0.47028	0.47077	0.47028
process[recruit_W].ycs_values{2004}	0.51761	0.51761	0.51662	0.52146	0.52238	0.52146
process[recruit_W].ycs_values{2005}	0.51305	0.51306	0.51126	0.51559	0.51622	0.51559
process[recruit_W].ycs_values{2006}	0.75475	0.75475	0.75544	0.74841	0.74906	0.74841
process[recruit_W].ycs_values{2007}	0.63692	0.63692	0.63891	0.61633	0.61695	0.61633
process[recruit_W].ycs_values{2008}	0.61564	0.61564	0.61686	0.60563	0.60627	0.60563
process[recruit_W].ycs_values{2009}	0.57305	0.57305	0.57841	0.55614	0.55728	0.55614
process[recruit_W].ycs_values{2010}	0.14618	0.14618	0.14547	0.14109	0.14136	0.14109
process[recruit_W].ycs_values{2011}	0.96708	0.96708	0.97478	0.94050	0.94018	0.94050
process[recruit_W].ycs_values{2012}	0.15909	0.15909	0.16016	0.15532	0.15512	0.15532
process[recruit_W].ycs_values{2013}	0.24402	0.24402	0.24444	0.22175	0.22188	0.22175
process[recruit_W].ycs_values{2014}	2.18651	2.18651	2.19657	2.08436	2.08138	2.08436
process[recruit_W].ycs_values{2015}	2.14758	2.14758	2.15204	2.13077	2.13206	2.13077
process[recruit_W].ycs_values{2016}	1.18909	1.18909	1.19539	1.31843	1.31946	1.31843
selectivity[sel_Whome].v{1}	0.32193	0.32193	0.32783	0.24972	0.24817	0.24972
selectivity[sel_Whome].v{2}	0.28491	0.28491	0.30778	0.17088	0.16809	0.17088
selectivity[sel_Whome].v{3}	0.45972	0.45972	0.47620	0.56407	0.55964	0.56407
selectivity[sel_Whome].v{4}	0.13549	0.13549	0.14184	0.31992	0.31122	0.31992
selectivity[sel_Whome].v{5}	0.43782	0.43782	0.46836	0.53561	0.54851	0.53561
selectivity[sel_Whome].v{6}	0.70821	0.70824	0.75026	0.98801	0.83550	0.98801
selectivity[sel_Whome].v{7}	0.99991	0.99989	0.78841	1.00000	1.00000	1.00000
selectivity[sel_Espmg].v{1}	0.00564	0.00564	0.00566	0.00463	0.00461	0.00463
selectivity[sel_Espmg].v{2}	0.15912	0.15912	0.16021	0.13897	0.13854	0.13897
selectivity[sel_Espmg].v{3}	0.32082	0.32082	0.32411	0.29478	0.29400	0.29478
selectivity[sel_Espmg].v{4}	0.42547	0.42547	0.43123	0.40903	0.40815	0.40903
selectivity[sel_Espmg].v{5}	0.37953	0.37953	0.38546	0.37865	0.37803	0.37865
selectivity[sel_Espmg].v{6}	0.45876	0.45876	0.46535	0.46838	0.46781	0.46838
selectivity[sel_Espmg].v{7}	0.59081	0.59081	0.59902	0.61234	0.61197	0.61234
selectivity[sel_Espmg].v{8}	0.61100	0.61100	0.60778	0.61083	0.61097	0.61083
selectivity[sel_Wspmg].v{1}	0.10556	0.10556	0.10614	0.12134	0.12116	0.12134
selectivity[sel_Wspmg].v{2}	0.29136	0.29136	0.28774	0.37466	0.37561	0.37466
selectivity[sel_Wspmg].v{3}	0.27068	0.27068	0.27076	0.27086	0.27076	0.27086
selectivity[sel_Wspmg].v{4}	0.45527	0.45527	0.45525	0.44370	0.44410	0.44370
selectivity[sel_Wspmg].v{5}	0.48421	0.48421	0.48466	0.48204	0.48091	0.48204
selectivity[sel_Wspmg].v{6}	0.52496	0.52496	0.52711	0.52945	0.53273	0.52945
selectivity[sel_Wspmg].v{7}	0.65298	0.65298	0.66062	0.67493	0.67367	0.67493
selectivity[sel_Wspmg].v{8}	0.60153	0.60153	0.59627	0.59640	0.59590	0.59640
selectivity[Enspsl].mu	3.57318	3.57318	3.56716	3.75591	3.75360	3.75591
selectivity[Enspsl].sigma_l	1.22245	1.22245	1.22108	1.33044	1.32957	1.33044
selectivity[Enspsl].sigma_r	49.99990	50.00000	15.71370	11.24720	11.42730	11.24720
selectivity[Wnspsl].mu	5.32840	5.32840	5.34117	14.50840	14.51590	14.50840
selectivity[Wnspsl].sigma_l	2.77815	2.77815	2.83934	49.00670	48.96160	49.00670
selectivity[Wnspsl].sigma_r	49.99980	49.99990	13.37890	1.00434	1.00400	1.00434
selectivity[Espsl].mu	11.25670	11.25670	10.87880	10.61680	10.62630	10.61680
selectivity[Espsl].sigma_l	10.86740	10.86730	11.67750	49.92470	49.93020	49.92470
selectivity[Espsl].sigma_r	4.02625	4.02625	3.98165	3.78315	3.78816	3.78315
selectivity[CRsl].mu	1.00000	1.00000	1.00000	1.00226	1.00209	1.00226
selectivity[CRsl].sigma_l	46.52190	46.52200	46.02310	49.98630	49.98740	49.98630
selectivity[CRsl].sigma_r	10.09280	10.09280	9.30042	8.55079	8.57200	8.55079
selectivity[SAsl].mu	14.86850	14.86850	14.25230	14.50030	14.51130	14.50030
selectivity[SAsl].sigma_l	8.69468	8.69467	8.75558	11.70950	11.71750	11.70950
selectivity[SAsl].sigma_r	1.00000	1.00000	1.31519	1.01524	1.01412	1.01524

Casal2 parameter estimates: Percent Difference from betadiff_casal_flags_on

rownames	betadiff_casal_flags_on	betadiff_casal_flags_off	betadiff_casal_flags_on_low_tol	adolc_casal_flags_on	adolc_casal_flags_off	adolc_casal_flags_on_low_tol
catchability[CSacous].q	0.000	0.000	-0.918	-2.096	-2.422	-2.096
catchability[WCacous].q	0.000	0.000	4.028	10.706	10.930	10.706
catchability[CRsum].q	0.000	0.000	-8.765	-15.367	-14.322	-15.367
catchability[SAsum].q	0.000	-0.000	11.797	30.301	30.445	30.301
catchability[SAaut].q	0.000	0.000	11.363	33.105	33.282	33.105
observation[CRsumbio].process_error	0.000	-0.001	0.328	-6.342	-6.439	-6.342
observation[SAsumbio].process_error	0.000	0.000	-1.645	3.884	3.767	3.884
process[recruit_E].b0	0.000	-0.000	-1.227	-2.843	-2.404	-2.843
process[recruit_W].b0	0.000	0.000	-4.712	-12.784	-12.821	-12.784
process[Instant_mortality].m{west.sa}	0.000	0.000	5.349	13.468	13.166	13.468
time_varying[shifted_mu].a	0.000	0.000	5.135	25.172	25.020	25.172
process[recruit_E].ycs_values{1975}	0.000	0.000	-0.549	0.831	0.493	0.831
process[recruit_E].ycs_values{1976}	0.000	0.000	0.355	3.242	2.978	3.242
process[recruit_E].ycs_values{1977}	0.000	0.000	0.981	4.224	4.019	4.224
process[recruit_E].ycs_values{1978}	0.000	0.000	1.906	6.016	5.860	6.016
process[recruit_E].ycs_values{1979}	0.000	0.000	1.485	5.150	4.833	5.150
process[recruit_E].ycs_values{1980}	0.000	0.000	1.512	4.365	4.506	4.365
process[recruit_E].ycs_values{1981}	0.000	0.000	1.712	5.128	5.040	5.128
process[recruit_E].ycs_values{1982}	0.000	-0.000	1.550	4.510	4.497	4.510
process[recruit_E].ycs_values{1983}	0.000	-0.001	1.559	4.535	4.417	4.535
process[recruit_E].ycs_values{1984}	0.000	-0.000	1.229	3.638	3.661	3.638
process[recruit_E].ycs_values{1985}	0.000	0.000	1.101	3.273	3.297	3.273
process[recruit_E].ycs_values{1986}	0.000	0.000	0.850	2.744	2.530	2.744
process[recruit_E].ycs_values{1987}	0.000	0.000	0.472	2.327	2.497	2.327
process[recruit_E].ycs_values{1988}	0.000	-0.000	0.471	3.462	3.549	3.462
process[recruit_E].ycs_values{1989}	0.000	0.000	0.455	1.064	1.018	1.064
process[recruit_E].ycs_values{1990}	0.000	-0.001	-0.101	-0.951	-0.920	-0.951
process[recruit_E].ycs_values{1991}	0.000	0.000	-0.307	0.775	1.134	0.775
process[recruit_E].ycs_values{1992}	0.000	0.000	-0.787	0.086	0.488	0.086
process[recruit_E].ycs_values{1993}	0.000	0.000	-0.831	-2.547	-2.413	-2.547
process[recruit_E].ycs_values{1994}	0.000	0.000	-0.880	1.026	1.357	1.026
process[recruit_E].ycs_values{1995}	0.000	0.000	-0.843	-1.713	-1.606	-1.713
process[recruit_E].ycs_values{1996}	0.000	0.000	-0.695	-2.328	-2.213	-2.328
process[recruit_E].ycs_values{1997}	0.000	0.000	-0.496	-0.743	-0.582	-0.743
process[recruit_E].ycs_values{1998}	0.000	0.000	-0.170	0.443	0.625	0.443
process[recruit_E].ycs_values{1999}	0.000	0.000	0.000	-0.795	-0.733	-0.795
process[recruit_E].ycs_values{2000}	0.000	0.000	-0.449	-1.002	-0.812	-1.002
process[recruit_E].ycs_values{2001}	0.000	0.001	-0.489	-2.561	-2.433	-2.561
process[recruit_E].ycs_values{2002}	0.000	0.000	-0.294	0.224	0.761	0.224
process[recruit_E].ycs_values{2003}	0.000	0.000	-0.159	-1.278	-1.181	-1.278
process[recruit_E].ycs_values{2004}	0.000	0.000	0.096	-0.893	-0.733	-0.893
process[recruit_E].ycs_values{2005}	0.000	0.000	-0.233	-1.799	-1.700	-1.799
process[recruit_E].ycs_values{2006}	0.000	-0.000	-0.070	-1.295	-1.198	-1.295
process[recruit_E].ycs_values{2007}	0.000	0.000	-0.244	-3.669	-3.627	-3.669
process[recruit_E].ycs_values{2008}	0.000	0.000	-0.500	-1.300	-0.895	-1.300
process[recruit_E].ycs_values{2009}	0.000	0.000	0.206	-3.869	-3.832	-3.869
process[recruit_E].ycs_values{2010}	0.000	0.000	-1.074	-5.258	-5.228	-5.258
process[recruit_E].ycs_values{2011}	0.000	0.000	-0.017	-3.272	-3.186	-3.272
process[recruit_E].ycs_values{2012}	0.000	0.000	-0.294	-3.981	-4.139	-3.981
process[recruit_E].ycs_values{2013}	0.000	0.000	-0.355	-4.388	-4.180	-4.388
process[recruit_E].ycs_values{2014}	0.000	0.000	-0.299	-5.737	-5.728	-5.737
process[recruit_E].ycs_values{2015}	0.000	-0.000	2.231	9.511	10.137	9.511
process[recruit_E].ycs_values{2016}	0.000	0.000	-0.529	-10.880	-10.964	-10.880
process[recruit_W].ycs_values{1975}	0.000	0.001	0.365	-3.670	-3.342	-3.670
process[recruit_W].ycs_values{1976}	0.000	0.000	-0.977	-3.277	-3.585	-3.277
process[recruit_W].ycs_values{1977}	0.000	-0.001	2.210	2.626	2.667	2.626
process[recruit_W].ycs_values{1978}	0.000	0.001	2.311	2.749	2.962	2.749
process[recruit_W].ycs_values{1979}	0.000	0.000	1.517	1.386	1.067	1.386
process[recruit_W].ycs_values{1980}	0.000	0.000	1.061	-0.116	0.104	-0.116
process[recruit_W].ycs_values{1981}	0.000	-0.000	0.892	-0.825	-0.766	-0.825
process[recruit_W].ycs_values{1982}	0.000	-0.000	0.284	-1.762	-1.744	-1.762
process[recruit_W].ycs_values{1983}	0.000	0.000	0.133	-2.898	-2.814	-2.898
process[recruit_W].ycs_values{1984}	0.000	-0.000	-0.016	-3.892	-3.842	-3.892
process[recruit_W].ycs_values{1985}	0.000	0.000	-0.257	-3.715	-3.996	-3.715
process[recruit_W].ycs_values{1986}	0.000	0.000	-0.021	-2.291	-2.483	-2.291
process[recruit_W].ycs_values{1987}	0.000	0.000	0.305	-5.129	-5.071	-5.129
process[recruit_W].ycs_values{1988}	0.000	0.000	0.229	-4.436	-4.661	-4.436
process[recruit_W].ycs_values{1989}	0.000	0.000	0.160	0.009	0.102	0.009
process[recruit_W].ycs_values{1990}	0.000	-0.000	0.304	1.769	0.377	1.769
process[recruit_W].ycs_values{1991}	0.000	0.000	-0.093	4.625	4.388	4.625
process[recruit_W].ycs_values{1992}	0.000	-0.001	-0.017	1.260	1.328	1.260
process[recruit_W].ycs_values{1993}	0.000	0.001	-0.185	0.277	0.356	0.277
process[recruit_W].ycs_values{1994}	0.000	0.000	-0.377	-3.999	-3.928	-3.999
process[recruit_W].ycs_values{1995}	0.000	0.000	-0.392	-0.712	-0.583	-0.712
process[recruit_W].ycs_values{1996}	0.000	0.000	-0.440	4.775	4.780	4.775
process[recruit_W].ycs_values{1997}	0.000	0.000	-0.644	1.043	0.572	1.043
process[recruit_W].ycs_values{1998}	0.000	0.000	-1.251	-5.177	-5.366	-5.177
process[recruit_W].ycs_values{1999}	0.000	0.000	0.000	-0.653	-0.602	-0.653
process[recruit_W].ycs_values{2000}	0.000	0.000	-0.580	-2.220	-2.518	-2.220
process[recruit_W].ycs_values{2001}	0.000	-0.000	-0.446	-1.666	-1.736	-1.666
process[recruit_W].ycs_values{2002}	0.000	0.000	-0.007	-0.455	-0.708	-0.455
process[recruit_W].ycs_values{2003}	0.000	-0.000	0.114	-0.983	-1.088	-0.983
process[recruit_W].ycs_values{2004}	0.000	0.000	0.191	-0.744	-0.922	-0.744
process[recruit_W].ycs_values{2005}	0.000	-0.000	0.350	-0.494	-0.617	-0.494
process[recruit_W].ycs_values{2006}	0.000	0.000	-0.091	0.840	0.754	0.840
process[recruit_W].ycs_values{2007}	0.000	-0.000	-0.312	3.232	3.135	3.232
process[recruit_W].ycs_values{2008}	0.000	0.000	-0.198	1.626	1.522	1.626
process[recruit_W].ycs_values{2009}	0.000	0.000	-0.934	2.952	2.752	2.952
process[recruit_W].ycs_values{2010}	0.000	0.000	0.483	3.479	3.293	3.479
process[recruit_W].ycs_values{2011}	0.000	-0.000	-0.796	2.749	2.782	2.749
process[recruit_W].ycs_values{2012}	0.000	0.000	-0.674	2.368	2.495	2.368
process[recruit_W].ycs_values{2013}	0.000	0.000	-0.172	9.126	9.072	9.126
process[recruit_W].ycs_values{2014}	0.000	0.000	-0.460	4.672	4.808	4.672
process[recruit_W].ycs_values{2015}	0.000	0.000	-0.208	0.783	0.723	0.783
process[recruit_W].ycs_values{2016}	0.000	0.000	-0.530	-10.877	-10.964	-10.877
selectivity[sel_Whome].v{1}	0.000	0.000	-1.833	22.430	22.912	22.430
selectivity[sel_Whome].v{2}	0.000	0.000	-8.027	40.025	41.002	40.025
selectivity[sel_Whome].v{3}	0.000	0.000	-3.584	-22.698	-21.734	-22.698
selectivity[sel_Whome].v{4}	0.000	-0.002	-4.687	-136.120	-129.699	-136.120
selectivity[sel_Whome].v{5}	0.000	0.002	-6.975	-22.336	-25.282	-22.336
selectivity[sel_Whome].v{6}	0.000	-0.003	-5.937	-39.507	-17.973	-39.507
selectivity[sel_Whome].v{7}	0.000	0.001	21.152	-0.009	-0.009	-0.009
selectivity[sel_Espmg].v{1}	0.000	-0.000	-0.331	17.944	18.276	17.944
selectivity[sel_Espmg].v{2}	0.000	-0.001	-0.683	12.666	12.935	12.666
selectivity[sel_Espmg].v{3}	0.000	-0.001	-1.028	8.115	8.358	8.115
selectivity[sel_Espmg].v{4}	0.000	-0.000	-1.354	3.863	4.069	3.863
selectivity[sel_Espmg].v{5}	0.000	-0.000	-1.563	0.231	0.394	0.231
selectivity[sel_Espmg].v{6}	0.000	-0.000	-1.436	-2.097	-1.972	-2.097
selectivity[sel_Espmg].v{7}	0.000	-0.000	-1.389	-3.644	-3.581	-3.644
selectivity[sel_Espmg].v{8}	0.000	0.000	0.528	0.028	0.006	0.028
selectivity[sel_Wspmg].v{1}	0.000	0.000	-0.552	-14.946	-14.779	-14.946
selectivity[sel_Wspmg].v{2}	0.000	-0.000	1.242	-28.591	-28.916	-28.591
selectivity[sel_Wspmg].v{3}	0.000	-0.000	-0.029	-0.066	-0.027	-0.066
selectivity[sel_Wspmg].v{4}	0.000	0.000	0.004	2.541	2.454	2.541
selectivity[sel_Wspmg].v{5}	0.000	0.000	-0.092	0.448	0.682	0.448
selectivity[sel_Wspmg].v{6}	0.000	0.000	-0.409	-0.856	-1.480	-0.856
selectivity[sel_Wspmg].v{7}	0.000	0.000	-1.171	-3.362	-3.169	-3.362
selectivity[sel_Wspmg].v{8}	0.000	0.000	0.875	0.853	0.937	0.853
selectivity[Enspsl].mu	0.000	0.000	0.168	-5.114	-5.049	-5.114
selectivity[Enspsl].sigma_l	0.000	0.000	0.112	-8.834	-8.763	-8.834
selectivity[Enspsl].sigma_r	0.000	-0.000	68.573	77.506	77.145	77.506
selectivity[Wnspsl].mu	0.000	0.000	-0.240	-172.284	-172.425	-172.284
selectivity[Wnspsl].sigma_l	0.000	0.000	-2.203	-1664.005	-1662.381	-1664.005
selectivity[Wnspsl].sigma_r	0.000	-0.000	73.242	97.991	97.992	97.991
selectivity[Espsl].mu	0.000	0.000	3.357	5.685	5.600	5.685
selectivity[Espsl].sigma_l	0.000	0.001	-7.454	-359.399	-359.449	-359.399
selectivity[Espsl].sigma_r	0.000	0.000	1.108	6.038	5.913	6.038
selectivity[CRsl].mu	0.000	0.000	0.000	-0.226	-0.209	-0.226
selectivity[CRsl].sigma_l	0.000	-0.000	1.072	-7.447	-7.449	-7.447
selectivity[CRsl].sigma_r	0.000	0.000	7.851	15.278	15.068	15.278
selectivity[SAsl].mu	0.000	0.000	4.144	2.476	2.402	2.476
selectivity[SAsl].sigma_l	0.000	0.000	-0.700	-34.674	-34.766	-34.674
selectivity[SAsl].sigma_r	0.000	0.000	-31.519	-1.524	-1.412	-1.524

CASAL objective function component values

Component	Base_Model	Sensitivity_1
CRsumbio	-31.030	-31.030
CSacous	-9.835	-9.836
SAautbio	-3.984	-3.984
SAsumbio	-6.146	-6.146
WCacous	-5.916	-5.916
CRsumage	323.800	323.800
SAautage	35.120	35.120
SAsumage	221.100	221.100
EnspOLF	24.280	24.280
Enspage	256.100	256.100
Espage	581.500	581.500
WnspOLF	70.250	70.250
Wnspage	157.000	157.000
Wspage	364.800	364.800
pspawn	-13.130	-13.130
pspawn_1993	-6.015	-6.015
prior_on_q[CSacous].q	-0.839	-0.839
prior_on_q[WCacous].q	-1.202	-1.202
prior_on_q[CRsum].q	-2.207	-2.207
prior_on_q[SAsum].q	-1.557	-1.557
prior_on_q[SAaut].q	-1.762	-1.762
prior_on_relative_abundance[CRsumbio].cv_process_error	0.000	0.000
prior_on_relative_abundance[SAsumbio].cv_process_error	0.000	0.000
prior_on_log_B0_total	0.000	0.000
prior_on_B0_prop_stock1	12.560	12.560
prior_on_natural_mortality.all	-1.217	-1.217
prior_on_selectivity[Wspsl].shift_a	0.378	0.378
prior_on_recruitment[E].YCS	-13.750	-13.750
prior_on_recruitment[W].YCS	-1.785	-1.785
prior_on_migration[Whome].rates_all	0.000	0.000
prior_on_migration[Espmg].rates_all	0.000	0.000
prior_on_migration[Wspmg].rates_all	0.000	0.000
prior_on_selectivity[Enspsl].all	0.000	0.000
prior_on_selectivity[Wnspsl].all	0.000	0.000
prior_on_selectivity[Espsl].all	0.000	0.000
prior_on_selectivity[CRsl].all	0.000	0.000
prior_on_selectivity[SAsl].all	0.000	0.000
Umax_Ensp1	0.000	0.000
Umax_Ensp2	0.000	0.000
Umax_Wnsp1	0.000	0.000
Umax_Wnsp2	0.000	0.000
Umax_Esp	0.000	0.000
Umax_Wsp	0.000	0.000
YCS.eq.16	0.000	0.000
sp.migr	0.013	0.013
Total	1947.000	1947.000

Casal2 objective function component values

rownames	betadiff_casal_flags_on	betadiff_casal_flags_off	betadiff_casal_flags_on_low_tol	adolc_casal_flags_on	adolc_casal_flags_off	adolc_casal_flags_on_low_tol
observation->CSacous-1991	2.342	2.342	2.404	2.367	2.367	2.367
observation->CSacous-1993	-0.577	-0.577	-0.588	-0.590	-0.590	-0.590
observation->CSacous-1994	-0.016	-0.016	-0.030	-0.045	-0.044	-0.045
observation->CSacous-1995	-0.562	-0.562	-0.567	-0.572	-0.572	-0.572
observation->CSacous-1996	-0.027	-0.026	0.013	0.064	0.062	0.064
observation->CSacous-1997	-0.912	-0.912	-0.899	-0.883	-0.885	-0.883
observation->CSacous-1998	-0.054	-0.054	-0.004	0.044	0.039	0.044
observation->CSacous-1999	-1.025	-1.025	-1.012	-0.996	-0.998	-0.996
observation->CSacous-2001	-1.217	-1.217	-1.211	-1.205	-1.206	-1.205
observation->CSacous-2002	-0.297	-0.297	-0.338	-0.399	-0.397	-0.399
observation->CSacous-2003	-0.845	-0.845	-0.863	-0.893	-0.891	-0.893
observation->CSacous-2005	-0.929	-0.929	-0.927	-0.916	-0.918	-0.916
observation->CSacous-2006	-0.939	-0.939	-0.950	-0.968	-0.970	-0.968
observation->CSacous-2007	-0.623	-0.623	-0.600	-0.547	-0.546	-0.547
observation->CSacous-2008	-1.094	-1.094	-1.125	-1.176	-1.176	-1.176
observation->CSacous-2009	-0.185	-0.185	-0.110	0.053	0.051	0.053
observation->CSacous-2011	-1.021	-1.021	-1.000	-0.964	-0.965	-0.964
observation->CSacous-2013	-0.892	-0.892	-0.855	-0.842	-0.844	-0.842
observation->CSacous-2015	-0.190	-0.190	-0.150	-0.195	-0.199	-0.195
observation->CSacous-2017	-1.020	-1.020	-1.021	-0.987	-0.986	-0.987
observation->WCacous-1988	-0.588	-0.588	-0.588	-0.589	-0.589	-0.589
observation->WCacous-1989	-0.183	-0.183	-0.168	-0.068	-0.076	-0.068
observation->WCacous-1990	-0.332	-0.332	-0.327	-0.260	-0.267	-0.260
observation->WCacous-1991	-0.425	-0.425	-0.425	-0.425	-0.425	-0.425
observation->WCacous-1992	-0.744	-0.744	-0.744	-0.728	-0.728	-0.728
observation->WCacous-1993	-0.369	-0.369	-0.374	-0.488	-0.488	-0.488
observation->WCacous-1997	-0.054	-0.054	-0.043	-0.011	-0.011	-0.011
observation->WCacous-2000	-1.265	-1.265	-1.272	-1.278	-1.278	-1.278
observation->WCacous-2012	-0.906	-0.906	-0.896	-0.800	-0.802	-0.800
observation->WCacous-2013	-1.079	-1.079	-1.079	-1.068	-1.068	-1.068
observation->CRsumbio-1992	-1.634	-1.634	-1.647	-1.533	-1.531	-1.533
observation->CRsumbio-1993	0.040	0.040	0.043	0.394	0.392	0.394
observation->CRsumbio-1994	-1.760	-1.760	-1.760	-1.723	-1.722	-1.723
observation->CRsumbio-1995	-1.425	-1.425	-1.406	-1.345	-1.341	-1.345
observation->CRsumbio-1996	-1.690	-1.690	-1.699	-1.706	-1.705	-1.706
observation->CRsumbio-1997	-0.607	-0.607	-0.635	-0.827	-0.820	-0.827
observation->CRsumbio-1998	-1.203	-1.203	-1.210	-1.054	-1.060	-1.054
observation->CRsumbio-1999	-0.953	-0.953	-0.919	-0.816	-0.820	-0.816
observation->CRsumbio-2000	-1.629	-1.629	-1.632	-1.636	-1.633	-1.636
observation->CRsumbio-2001	-1.773	-1.773	-1.775	-1.729	-1.728	-1.729
observation->CRsumbio-2002	-1.209	-1.209	-1.206	-1.089	-1.097	-1.089
observation->CRsumbio-2003	-1.749	-1.749	-1.744	-1.722	-1.724	-1.722
observation->CRsumbio-2004	-0.818	-0.818	-0.803	-0.849	-0.854	-0.849
observation->CRsumbio-2005	-1.471	-1.471	-1.477	-1.459	-1.457	-1.459
observation->CRsumbio-2006	-1.314	-1.314	-1.306	-1.450	-1.451	-1.450
observation->CRsumbio-2007	-0.727	-0.727	-0.756	-0.640	-0.645	-0.640
observation->CRsumbio-2008	-0.373	-0.373	-0.402	-0.445	-0.439	-0.445
observation->CRsumbio-2009	-0.586	-0.586	-0.559	-0.619	-0.615	-0.619
observation->CRsumbio-2010	-1.349	-1.349	-1.359	-1.318	-1.314	-1.318
observation->CRsumbio-2011	-1.096	-1.096	-1.105	-1.095	-1.094	-1.095
observation->CRsumbio-2012	-1.439	-1.439	-1.448	-1.371	-1.367	-1.371
observation->CRsumbio-2013	-1.494	-1.494	-1.491	-1.433	-1.433	-1.433
observation->CRsumbio-2014	-1.768	-1.768	-1.770	-1.724	-1.723	-1.724
observation->CRsumbio-2016	-1.410	-1.410	-1.411	-1.281	-1.281	-1.281
observation->CRsumbio-2018	-1.552	-1.552	-1.554	-1.485	-1.485	-1.485
observation->SAsumbio-1992	-0.597	-0.597	-0.588	-0.696	-0.692	-0.696
observation->SAsumbio-1993	-0.314	-0.314	-0.309	-0.479	-0.477	-0.479
observation->SAsumbio-1994	0.196	0.196	0.186	0.032	0.027	0.032
observation->SAsumbio-2001	-0.835	-0.835	-0.822	-0.866	-0.866	-0.866
observation->SAsumbio-2002	-0.794	-0.794	-0.777	-0.822	-0.822	-0.822
observation->SAsumbio-2003	-0.837	-0.837	-0.825	-0.868	-0.867	-0.868
observation->SAsumbio-2004	0.732	0.732	0.734	0.748	0.750	0.748
observation->SAsumbio-2005	-0.258	-0.258	-0.218	-0.229	-0.226	-0.229
observation->SAsumbio-2006	-0.600	-0.600	-0.558	-0.616	-0.615	-0.616
observation->SAsumbio-2007	0.636	0.636	0.654	0.806	0.812	0.806
observation->SAsumbio-2008	-0.461	-0.461	-0.462	-0.520	-0.520	-0.520
observation->SAsumbio-2009	-0.585	-0.585	-0.583	-0.636	-0.639	-0.636
observation->SAsumbio-2010	-0.143	-0.143	-0.147	-0.156	-0.155	-0.156
observation->SAsumbio-2012	-0.848	-0.848	-0.835	-0.880	-0.879	-0.880
observation->SAsumbio-2013	-0.797	-0.797	-0.786	-0.821	-0.820	-0.821
observation->SAsumbio-2015	-0.200	-0.200	-0.189	-0.279	-0.279	-0.279
observation->SAsumbio-2017	-0.638	-0.638	-0.620	-0.701	-0.701	-0.701
observation->SAautbio-1992	-1.459	-1.459	-1.450	-1.353	-1.355	-1.353
observation->SAautbio-1996	-1.233	-1.232	-1.250	-1.256	-1.259	-1.256
observation->SAautbio-1998	-1.308	-1.308	-1.284	-1.283	-1.285	-1.283
observation->Espage-1988	19.793	19.793	19.640	19.503	19.505	19.503
observation->Espage-1989	15.858	15.858	15.862	15.868	15.864	15.868
observation->Espage-1990	21.488	21.488	21.446	21.394	21.385	21.394
observation->Espage-1991	20.641	20.641	20.612	20.528	20.523	20.528
observation->Espage-1992	24.089	24.089	24.020	23.900	23.916	23.900
observation->Espage-1993	19.305	19.305	19.328	19.451	19.450	19.451
observation->Espage-1994	20.528	20.528	20.503	20.461	20.452	20.461
observation->Espage-1995	22.541	22.541	22.559	22.538	22.526	22.538
observation->Espage-1996	18.590	18.590	18.577	18.573	18.574	18.573
observation->Espage-1997	20.974	20.974	20.964	20.869	20.875	20.869
observation->Espage-1998	20.587	20.587	20.611	20.546	20.533	20.546
observation->Espage-1999	22.886	22.886	22.862	22.689	22.672	22.689
observation->Espage-2000	23.321	23.321	23.314	23.422	23.422	23.422
observation->Espage-2001	20.735	20.735	20.773	20.804	20.799	20.804
observation->Espage-2002	26.248	26.248	26.287	26.199	26.186	26.199
observation->Espage-2003	19.120	19.120	19.120	19.082	19.078	19.082
observation->Espage-2004	22.692	22.692	22.642	22.575	22.584	22.575
observation->Espage-2005	26.122	26.122	26.070	25.966	25.957	25.966
observation->Espage-2006	23.242	23.242	23.149	23.088	23.096	23.088
observation->Espage-2007	25.274	25.274	25.210	25.150	25.161	25.150
observation->Espage-2008	22.167	22.168	22.129	22.091	22.088	22.091
observation->Espage-2009	18.691	18.691	18.690	18.676	18.673	18.676
observation->Espage-2010	21.855	21.855	21.851	21.785	21.785	21.785
observation->Espage-2014	20.616	20.616	20.648	20.610	20.607	20.610
observation->Espage-2015	21.823	21.823	21.870	21.916	21.907	21.916
observation->Espage-2016	21.204	21.204	21.204	21.209	21.208	21.209
observation->Espage-2017	21.575	21.575	21.563	21.585	21.585	21.585
observation->Wspage-1988	15.724	15.724	15.753	16.227	16.229	16.227
observation->Wspage-1989	11.555	11.555	11.566	11.716	11.717	11.716
observation->Wspage-1990	11.752	11.751	11.790	12.115	12.123	12.115
observation->Wspage-1991	13.036	13.036	13.051	13.254	13.257	13.254
observation->Wspage-1992	10.178	10.178	10.170	10.161	10.164	10.161
observation->Wspage-1993	10.569	10.569	10.579	10.497	10.500	10.497
observation->Wspage-1994	9.918	9.918	9.924	9.840	9.845	9.840
observation->Wspage-1995	13.403	13.403	13.396	13.424	13.424	13.424
observation->Wspage-1996	11.840	11.840	11.844	11.929	11.933	11.929
observation->Wspage-1997	11.230	11.230	11.243	11.370	11.377	11.370
observation->Wspage-1998	11.761	11.761	11.762	11.787	11.788	11.787
observation->Wspage-1999	11.975	11.975	11.981	12.141	12.139	12.141
observation->Wspage-2000	11.256	11.256	11.260	11.374	11.379	11.374
observation->Wspage-2001	12.179	12.179	12.201	12.275	12.281	12.275
observation->Wspage-2002	9.731	9.731	9.745	9.798	9.800	9.798
observation->Wspage-2003	9.555	9.555	9.556	9.585	9.588	9.585
observation->Wspage-2004	14.340	14.340	14.304	14.283	14.284	14.283
observation->Wspage-2005	14.932	14.932	14.977	15.129	15.126	15.129
observation->Wspage-2006	13.817	13.817	13.872	14.093	14.102	14.093
observation->Wspage-2007	11.498	11.498	11.516	11.527	11.530	11.527
observation->Wspage-2008	12.195	12.195	12.194	11.980	11.989	11.980
observation->Wspage-2009	12.631	12.631	12.594	12.212	12.211	12.212
observation->Wspage-2010	11.316	11.316	11.299	11.207	11.210	11.207
observation->Wspage-2011	11.154	11.154	11.137	11.088	11.091	11.088
observation->Wspage-2012	11.867	11.867	11.860	11.846	11.846	11.846
observation->Wspage-2013	11.041	11.041	11.065	11.071	11.071	11.071
observation->Wspage-2014	12.944	12.944	12.941	12.934	12.936	12.934
observation->Wspage-2015	13.134	13.134	13.101	13.009	13.012	13.009
observation->Wspage-2016	14.272	14.272	14.273	14.339	14.332	14.339
observation->Wspage-2017	13.745	13.745	13.797	14.070	14.065	14.070
observation->EnspOLF-1992	4.397	4.397	4.388	4.296	4.296	4.296
observation->EnspOLF-1994	6.647	6.647	6.678	6.658	6.645	6.658
observation->EnspOLF-1996	7.897	7.897	7.906	7.748	7.746	7.748
observation->EnspOLF-1998	5.301	5.301	5.303	5.207	5.205	5.207
observation->Enspage-1999	14.332	14.332	14.287	14.449	14.454	14.449
observation->Enspage-2000	13.975	13.975	13.960	14.046	14.049	14.046
observation->Enspage-2001	13.979	13.979	13.929	13.846	13.866	13.846
observation->Enspage-2002	12.081	12.081	12.078	11.985	12.001	11.985
observation->Enspage-2003	9.700	9.700	9.706	9.720	9.722	9.720
observation->Enspage-2004	12.966	12.966	12.986	12.792	12.791	12.792
observation->Enspage-2005	11.012	11.012	11.009	10.976	10.963	10.976
observation->Enspage-2006	12.741	12.741	12.712	12.868	12.890	12.868
observation->Enspage-2007	11.061	11.061	11.052	11.120	11.108	11.120
observation->Enspage-2008	12.104	12.104	12.101	12.193	12.190	12.193
observation->Enspage-2009	10.056	10.056	10.055	10.052	10.051	10.052
observation->Enspage-2010	17.581	17.581	17.627	17.587	17.539	17.587
observation->Enspage-2011	13.399	13.399	13.412	13.315	13.313	13.315
observation->Enspage-2012	13.149	13.149	13.134	13.008	13.013	13.008
observation->Enspage-2013	16.694	16.694	16.659	16.738	16.736	16.738
observation->Enspage-2014	13.869	13.869	13.870	13.910	13.914	13.910
observation->Enspage-2015	12.760	12.760	12.776	12.786	12.792	12.786
observation->Enspage-2016	19.224	19.224	19.203	19.292	19.302	19.292
observation->Enspage-2017	15.562	15.562	15.511	15.614	15.600	15.614
observation->WnspOLF-1992	10.122	10.122	10.129	11.331	11.338	11.331
observation->WnspOLF-1993	9.045	9.045	8.991	9.950	9.963	9.950
observation->WnspOLF-1994	15.930	15.930	15.893	19.124	19.092	19.124
observation->WnspOLF-1996	9.788	9.788	9.752	8.934	8.934	8.934
observation->WnspOLF-1999	11.553	11.553	11.593	10.854	10.863	10.854
observation->WnspOLF-2000	13.812	13.812	13.892	14.053	14.075	14.053
observation->Wnspage-2001	8.032	8.032	7.994	8.341	8.344	8.341
observation->Wnspage-2002	8.715	8.715	8.701	8.602	8.600	8.602
observation->Wnspage-2003	10.473	10.473	10.507	10.608	10.610	10.608
observation->Wnspage-2004	7.155	7.155	7.140	7.063	7.064	7.063
observation->Wnspage-2006	9.589	9.589	9.551	9.999	9.994	9.999
observation->Wnspage-2007	10.861	10.861	10.822	11.404	11.399	11.404
observation->Wnspage-2008	12.425	12.425	12.435	12.941	12.943	12.941
observation->Wnspage-2009	14.716	14.716	14.790	14.160	14.160	14.160
observation->Wnspage-2010	11.405	11.405	11.370	11.466	11.466	11.466
observation->Wnspage-2011	11.267	11.267	11.275	11.092	11.096	11.092
observation->Wnspage-2012	10.454	10.454	10.465	10.775	10.779	10.775
observation->Wnspage-2013	13.633	13.633	13.634	13.685	13.687	13.685
observation->Wnspage-2014	12.608	12.608	12.597	11.238	11.241	11.238
observation->Wnspage-2016	15.687	15.687	15.722	14.898	14.887	14.898
observation->CRsumage-1992	15.584	15.584	15.566	14.750	14.736	14.750
observation->CRsumage-1993	10.616	10.616	10.624	10.556	10.554	10.556
observation->CRsumage-1994	18.170	18.170	18.130	17.555	17.556	17.555
observation->CRsumage-1995	14.285	14.285	14.242	13.675	13.648	13.675
observation->CRsumage-1996	11.567	11.567	11.607	11.097	11.090	11.097
observation->CRsumage-1997	15.754	15.754	15.688	15.420	15.411	15.420
observation->CRsumage-1998	14.690	14.690	14.690	13.355	13.348	13.355
observation->CRsumage-1999	12.061	12.061	12.084	12.396	12.384	12.396
observation->CRsumage-2000	14.323	14.323	14.283	14.708	14.729	14.708
observation->CRsumage-2001	19.659	19.659	19.520	18.906	18.915	18.906
observation->CRsumage-2002	10.969	10.969	10.960	11.011	11.022	11.011
observation->CRsumage-2003	11.251	11.251	11.210	11.162	11.164	11.162
observation->CRsumage-2004	9.553	9.553	9.561	9.094	9.097	9.094
observation->CRsumage-2005	12.753	12.753	12.654	12.421	12.406	12.421
observation->CRsumage-2006	10.316	10.316	10.317	11.101	11.113	11.101
observation->CRsumage-2007	13.562	13.562	13.504	13.090	13.096	13.090
observation->CRsumage-2008	11.661	11.661	11.639	11.751	11.751	11.751
observation->CRsumage-2009	12.006	12.006	11.965	12.008	12.017	12.008
observation->CRsumage-2010	11.048	11.048	11.055	11.708	11.690	11.708
observation->CRsumage-2011	12.579	12.579	12.571	13.701	13.711	13.701
observation->CRsumage-2012	17.228	17.228	17.141	16.248	16.259	16.248
observation->CRsumage-2013	11.843	11.843	11.822	12.775	12.784	12.775
observation->CRsumage-2014	11.286	11.286	11.271	11.426	11.424	11.426
observation->CRsumage-2016	9.866	9.866	9.847	10.399	10.405	10.399
observation->CRsumage-2018	11.931	11.931	11.895	12.579	12.582	12.579
observation->SAsumage-1992	12.246	12.246	12.269	12.116	12.130	12.116
observation->SAsumage-1993	12.470	12.470	12.502	12.756	12.758	12.756
observation->SAsumage-1994	10.811	10.811	10.818	10.929	10.929	10.929
observation->SAsumage-2001	12.749	12.749	12.839	12.998	13.002	12.998
observation->SAsumage-2002	12.209	12.209	12.254	12.443	12.443	12.443
observation->SAsumage-2003	13.386	13.386	13.386	13.620	13.615	13.620
observation->SAsumage-2004	11.067	11.067	11.005	11.095	11.104	11.095
observation->SAsumage-2005	15.278	15.278	15.386	15.779	15.765	15.779
observation->SAsumage-2006	14.112	14.112	14.078	14.243	14.236	14.243
observation->SAsumage-2007	10.649	10.649	10.639	10.765	10.768	10.765
observation->SAsumage-2008	13.771	13.771	13.836	13.930	13.933	13.930
observation->SAsumage-2009	15.513	15.513	15.530	15.750	15.740	15.750
observation->SAsumage-2010	15.081	15.081	15.130	15.587	15.573	15.587
observation->SAsumage-2012	13.437	13.437	13.479	13.414	13.412	13.414
observation->SAsumage-2013	11.954	11.954	11.982	12.021	12.025	12.021
observation->SAsumage-2015	13.522	13.522	13.540	14.057	14.067	14.057
observation->SAsumage-2017	12.492	12.492	12.478	12.571	12.569	12.571
observation->SAautage-1992	11.809	11.809	11.857	12.224	12.222	12.224
observation->SAautage-1996	10.449	10.449	10.426	10.558	10.569	10.558
observation->SAautage-1998	12.809	12.809	12.835	12.904	12.901	12.904
observation->pspawn_1993	-6.017	-6.017	-6.015	-5.880	-5.878	-5.880
observation->pspawn-1992	-4.848	-4.848	-4.829	-4.799	-4.802	-4.799
observation->pspawn-1998	-8.284	-8.284	-8.300	-8.240	-8.225	-8.240
prior->CSacousq->catchability[CSacous].q	-0.849	-0.849	-0.839	-0.826	-0.823	-0.826
prior->WCacousq->catchability[WCacous].q	-1.162	-1.162	-1.202	-1.264	-1.266	-1.264
prior->CRsumq->catchability[CRsum].q	-2.155	-2.155	-2.207	-2.231	-2.228	-2.231
prior->SAsumq->catchability[SAsum].q	-1.762	-1.762	-1.557	-1.038	-1.033	-1.038
prior->SAautq->catchability[SAaut].q	-1.913	-1.913	-1.762	-1.233	-1.227	-1.233
prior->CR_process_error->observation[CRsumbio].process_error	0.000	0.000	0.000	0.000	0.000	0.000
prior->SA_process_error->observation[SAsumbio].process_error	0.000	0.000	0.000	0.000	0.000	0.000
prior->B0_E_with_total_log_b0_prior->process[recruit_E].b0	0.000	0.000	0.000	0.000	0.000	0.000
prior->B0_W_with_proportion_prior->process[recruit_W].b0	12.544	12.544	12.555	12.594	12.598	12.594
prior->M_all->process[Instant_mortality].m{west.sa}	-1.085	-1.085	-1.217	-1.151	-1.160	-1.151
prior->Wspsl_shift_param->time_varying[shifted_mu].a	0.420	0.420	0.378	0.235	0.236	0.235
prior->YCS_E->process[recruit_E].ycs_values{1975}	-0.624	-0.624	-0.623	-0.626	-0.625	-0.626
prior->YCS_E->process[recruit_E].ycs_values{1976}	-0.316	-0.316	-0.319	-0.348	-0.345	-0.348
prior->YCS_E->process[recruit_E].ycs_values{1977}	-0.227	-0.227	-0.238	-0.274	-0.272	-0.274
prior->YCS_E->process[recruit_E].ycs_values{1978}	0.654	0.654	0.615	0.532	0.535	0.532
prior->YCS_E->process[recruit_E].ycs_values{1979}	0.084	0.084	0.062	0.007	0.012	0.007
prior->YCS_E->process[recruit_E].ycs_values{1980}	-0.630	-0.630	-0.627	-0.619	-0.619	-0.619
prior->YCS_E->process[recruit_E].ycs_values{1981}	-0.619	-0.619	-0.623	-0.631	-0.631	-0.631
prior->YCS_E->process[recruit_E].ycs_values{1982}	-0.550	-0.550	-0.542	-0.524	-0.524	-0.524
prior->YCS_E->process[recruit_E].ycs_values{1983}	-0.627	-0.627	-0.630	-0.635	-0.635	-0.635
prior->YCS_E->process[recruit_E].ycs_values{1984}	-0.591	-0.591	-0.596	-0.605	-0.605	-0.605
prior->YCS_E->process[recruit_E].ycs_values{1985}	-0.641	-0.641	-0.642	-0.643	-0.643	-0.643
prior->YCS_E->process[recruit_E].ycs_values{1986}	-0.408	-0.408	-0.400	-0.383	-0.385	-0.383
prior->YCS_E->process[recruit_E].ycs_values{1987}	0.142	0.142	0.135	0.106	0.103	0.106
prior->YCS_E->process[recruit_E].ycs_values{1988}	0.026	0.026	0.019	-0.024	-0.025	-0.024
prior->YCS_E->process[recruit_E].ycs_values{1989}	-0.631	-0.631	-0.632	-0.633	-0.633	-0.633
prior->YCS_E->process[recruit_E].ycs_values{1990}	0.159	0.159	0.158	0.144	0.145	0.144
prior->YCS_E->process[recruit_E].ycs_values{1991}	-0.643	-0.643	-0.643	-0.643	-0.642	-0.643
prior->YCS_E->process[recruit_E].ycs_values{1992}	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643
prior->YCS_E->process[recruit_E].ycs_values{1993}	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643
prior->YCS_E->process[recruit_E].ycs_values{1994}	-0.530	-0.530	-0.525	-0.536	-0.538	-0.536
prior->YCS_E->process[recruit_E].ycs_values{1995}	-0.534	-0.534	-0.538	-0.543	-0.543	-0.543
prior->YCS_E->process[recruit_E].ycs_values{1996}	-0.574	-0.574	-0.577	-0.584	-0.583	-0.584
prior->YCS_E->process[recruit_E].ycs_values{1997}	-0.623	-0.623	-0.622	-0.621	-0.621	-0.621
prior->YCS_E->process[recruit_E].ycs_values{1998}	-0.512	-0.512	-0.513	-0.509	-0.508	-0.509
prior->YCS_E->process[recruit_E].ycs_values{1999}	2.014	2.014	2.014	1.991	1.993	1.991
prior->YCS_E->process[recruit_E].ycs_values{2000}	-0.616	-0.616	-0.614	-0.613	-0.613	-0.613
prior->YCS_E->process[recruit_E].ycs_values{2001}	-0.065	-0.065	-0.071	-0.098	-0.097	-0.098
prior->YCS_E->process[recruit_E].ycs_values{2002}	-0.543	-0.543	-0.545	-0.542	-0.539	-0.542
prior->YCS_E->process[recruit_E].ycs_values{2003}	-0.586	-0.586	-0.585	-0.581	-0.581	-0.581
prior->YCS_E->process[recruit_E].ycs_values{2004}	-0.568	-0.568	-0.568	-0.563	-0.564	-0.563
prior->YCS_E->process[recruit_E].ycs_values{2005}	-0.579	-0.579	-0.578	-0.571	-0.571	-0.571
prior->YCS_E->process[recruit_E].ycs_values{2006}	-0.483	-0.483	-0.482	-0.474	-0.474	-0.474
prior->YCS_E->process[recruit_E].ycs_values{2007}	-0.567	-0.567	-0.566	-0.549	-0.549	-0.549
prior->YCS_E->process[recruit_E].ycs_values{2008}	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643
prior->YCS_E->process[recruit_E].ycs_values{2009}	-0.561	-0.561	-0.562	-0.540	-0.540	-0.540
prior->YCS_E->process[recruit_E].ycs_values{2010}	-0.031	-0.031	-0.046	-0.100	-0.100	-0.100
prior->YCS_E->process[recruit_E].ycs_values{2011}	-0.408	-0.408	-0.408	-0.380	-0.380	-0.380
prior->YCS_E->process[recruit_E].ycs_values{2012}	-0.019	-0.019	-0.023	-0.072	-0.074	-0.072
prior->YCS_E->process[recruit_E].ycs_values{2013}	-0.238	-0.238	-0.242	-0.285	-0.283	-0.285
prior->YCS_E->process[recruit_E].ycs_values{2014}	-0.317	-0.317	-0.314	-0.258	-0.258	-0.258
prior->YCS_E->process[recruit_E].ycs_values{2015}	-0.279	-0.279	-0.302	-0.377	-0.383	-0.377
prior->YCS_E->process[recruit_E].ycs_values{2016}	0.363	0.363	0.373	0.554	0.556	0.554
prior->YCS_W->process[recruit_W].ycs_values{1975}	-0.616	-0.616	-0.617	-0.605	-0.606	-0.605
prior->YCS_W->process[recruit_W].ycs_values{1976}	-0.195	-0.195	-0.184	-0.156	-0.153	-0.156
prior->YCS_W->process[recruit_W].ycs_values{1977}	-0.376	-0.376	-0.396	-0.399	-0.400	-0.399
prior->YCS_W->process[recruit_W].ycs_values{1978}	-0.396	-0.396	-0.417	-0.420	-0.422	-0.420
prior->YCS_W->process[recruit_W].ycs_values{1979}	-0.607	-0.607	-0.612	-0.611	-0.610	-0.611
prior->YCS_W->process[recruit_W].ycs_values{1980}	-0.567	-0.567	-0.573	-0.567	-0.568	-0.567
prior->YCS_W->process[recruit_W].ycs_values{1981}	-0.502	-0.502	-0.508	-0.497	-0.497	-0.497
prior->YCS_W->process[recruit_W].ycs_values{1982}	-0.606	-0.606	-0.607	-0.600	-0.600	-0.600
prior->YCS_W->process[recruit_W].ycs_values{1983}	-0.109	-0.109	-0.111	-0.071	-0.072	-0.071
prior->YCS_W->process[recruit_W].ycs_values{1984}	-0.163	-0.163	-0.163	-0.115	-0.116	-0.115
prior->YCS_W->process[recruit_W].ycs_values{1985}	-0.619	-0.619	-0.620	-0.628	-0.629	-0.628
prior->YCS_W->process[recruit_W].ycs_values{1986}	-0.098	-0.098	-0.098	-0.127	-0.129	-0.127
prior->YCS_W->process[recruit_W].ycs_values{1987}	0.788	0.788	0.782	0.896	0.894	0.896
prior->YCS_W->process[recruit_W].ycs_values{1988}	-0.252	-0.252	-0.255	-0.203	-0.200	-0.203
prior->YCS_W->process[recruit_W].ycs_values{1989}	1.207	1.207	1.211	1.207	1.209	1.207
prior->YCS_W->process[recruit_W].ycs_values{1990}	1.197	1.197	1.204	1.240	1.206	1.240
prior->YCS_W->process[recruit_W].ycs_values{1991}	-0.081	-0.081	-0.080	-0.142	-0.139	-0.142
prior->YCS_W->process[recruit_W].ycs_values{1992}	0.480	0.480	0.480	0.456	0.455	0.456
prior->YCS_W->process[recruit_W].ycs_values{1993}	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643
prior->YCS_W->process[recruit_W].ycs_values{1994}	0.014	0.014	0.020	0.071	0.070	0.071
prior->YCS_W->process[recruit_W].ycs_values{1995}	-0.410	-0.410	-0.413	-0.416	-0.414	-0.416
prior->YCS_W->process[recruit_W].ycs_values{1996}	-0.301	-0.301	-0.306	-0.249	-0.249	-0.249
prior->YCS_W->process[recruit_W].ycs_values{1997}	-0.466	-0.466	-0.471	-0.458	-0.462	-0.458
prior->YCS_W->process[recruit_W].ycs_values{1998}	-0.322	-0.322	-0.334	-0.371	-0.372	-0.371
prior->YCS_W->process[recruit_W].ycs_values{1999}	2.014	2.014	2.014	1.995	1.996	1.995
prior->YCS_W->process[recruit_W].ycs_values{2000}	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643
prior->YCS_W->process[recruit_W].ycs_values{2001}	0.856	0.856	0.846	0.820	0.819	0.820
prior->YCS_W->process[recruit_W].ycs_values{2002}	-0.222	-0.222	-0.222	-0.217	-0.214	-0.217
prior->YCS_W->process[recruit_W].ycs_values{2003}	-0.612	-0.612	-0.612	-0.609	-0.608	-0.609
prior->YCS_W->process[recruit_W].ycs_values{2004}	-0.570	-0.570	-0.571	-0.567	-0.566	-0.567
prior->YCS_W->process[recruit_W].ycs_values{2005}	-0.574	-0.574	-0.576	-0.572	-0.572	-0.572
prior->YCS_W->process[recruit_W].ycs_values{2006}	-0.280	-0.280	-0.279	-0.289	-0.288	-0.289
prior->YCS_W->process[recruit_W].ycs_values{2007}	-0.438	-0.438	-0.436	-0.463	-0.463	-0.463
prior->YCS_W->process[recruit_W].ycs_values{2008}	-0.464	-0.464	-0.463	-0.476	-0.476	-0.476
prior->YCS_W->process[recruit_W].ycs_values{2009}	-0.514	-0.514	-0.508	-0.532	-0.531	-0.532
prior->YCS_W->process[recruit_W].ycs_values{2010}	0.071	0.071	0.078	0.124	0.121	0.124
prior->YCS_W->process[recruit_W].ycs_values{2011}	0.031	0.031	0.043	-0.009	-0.009	-0.009
prior->YCS_W->process[recruit_W].ycs_values{2012}	-0.050	-0.050	-0.059	-0.017	-0.015	-0.017
prior->YCS_W->process[recruit_W].ycs_values{2013}	-0.489	-0.489	-0.490	-0.415	-0.416	-0.415
prior->YCS_W->process[recruit_W].ycs_values{2014}	1.730	1.730	1.742	1.601	1.598	1.601
prior->YCS_W->process[recruit_W].ycs_values{2015}	1.681	1.681	1.687	1.660	1.662	1.660
prior->YCS_W->process[recruit_W].ycs_values{2016}	0.363	0.364	0.373	0.554	0.556	0.554
prior->sel_Whome->selectivity[sel_Whome].v{1}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{2}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{3}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{4}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{5}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{6}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{7}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{1}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{2}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{3}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{4}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{5}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{6}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{7}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{8}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{1}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{2}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{3}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{4}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{5}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{6}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{7}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{8}	0.000	0.000	0.000	0.000	0.000	0.000
prior->Enspsl_mu->selectivity[Enspsl].mu	0.000	0.000	0.000	0.000	0.000	0.000
prior->Enspsl_s_l->selectivity[Enspsl].sigma_l	0.000	0.000	0.000	0.000	0.000	0.000
prior->Enspsl_s_r->selectivity[Enspsl].sigma_r	0.000	0.000	0.000	0.000	0.000	0.000
prior->Wnspsl_mu->selectivity[Wnspsl].mu	0.000	0.000	0.000	0.000	0.000	0.000
prior->Wnspsl_s_l->selectivity[Wnspsl].sigma_l	0.000	0.000	0.000	0.000	0.000	0.000
prior->Wnspsl_s_r->selectivity[Wnspsl].sigma_r	0.000	0.000	0.000	0.000	0.000	0.000
prior->Espsl_mu->selectivity[Espsl].mu	0.000	0.000	0.000	0.000	0.000	0.000
prior->Espsl_s_l->selectivity[Espsl].sigma_l	0.000	0.000	0.000	0.000	0.000	0.000
prior->Espsl_s_r->selectivity[Espsl].sigma_r	0.000	0.000	0.000	0.000	0.000	0.000
prior->CRsl_mu->selectivity[CRsl].mu	0.000	0.000	0.000	0.000	0.000	0.000
prior->CRsl_s_l->selectivity[CRsl].sigma_l	0.000	0.000	0.000	0.000	0.000	0.000
prior->CRsl_s_r->selectivity[CRsl].sigma_r	0.000	0.000	0.000	0.000	0.000	0.000
prior->SAsl_mu->selectivity[SAsl].mu	0.000	0.000	0.000	0.000	0.000	0.000
prior->SAsl_s_l->selectivity[SAsl].sigma_l	0.000	0.000	0.000	0.000	0.000	0.000
prior->SAsl_s_r->selectivity[SAsl].sigma_r	0.000	0.000	0.000	0.000	0.000	0.000
additional_prior->YCS.eq.16	0.000	0.000	0.000	0.000	0.000	0.000
additional_prior->sp.migr	0.009	0.009	0.013	0.021	0.023	0.021
jacobian->log_sum_b0	0.000	0.000	0.000	0.000	0.000	0.000
total_negloglike	1946.810	1946.810	1946.540	1954.680	1954.660	1954.680
total_score	1946.810	1946.810	1946.540	1954.680	1954.660	1954.680

## [1] "CASAL base model convergence information"
## [1] "fmm: have converged: t = 8.24015e-007 f = 1946.54"                                                        
## [2] "Successful convergence in optimise"                                                                       
## [3] "Minimiser achieved convergence after 599 quasi-Newton iterations using 669 objective function evaluations"
## [1] ""
## [1] "CASAL sensitivity 1 model convergence information"
## [1] "fmm: step size too small. Indicates successful convergence (though this is not the textbook ideal convergence situation)"
## [2] "Successful convergence in optimise"                                                                                      
## [3] "Minimiser achieved convergence after 665 quasi-Newton iterations using 765 objective function evaluations"               
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on model convergence information"
## [1] "fmm: have converged: t = 8.77772e-07 f = 1946.81"
## [2] "Successful convergence in optimise"              
## [1] ""
## [1] "Casal2 betadiff_casal_flags_off model convergence information"
## [1] "fmm: have converged: t = 8.73289e-07 f = 1946.81"
## [2] "Successful convergence in optimise"              
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on_low_tol model convergence information"
## [1] "fmm: step size too small. Indicates successful convergence (though this is not the textbook ideal convergence situation)"
## [2] "Successful convergence in optimise"                                                                                      
## [1] ""
## [1] "Casal2 adolc_casal_flags_on model convergence information"
## [1] "[IMPORTANT] FMM: Max newton steps (5)"
## [2] "FMM: Max newton steps (5)"            
## [1] ""
## [1] "Casal2 adolc_casal_flags_off model convergence information"
## [1] "[IMPORTANT] FMM: Max newton steps (5)"
## [2] "FMM: Max newton steps (5)"            
## [1] ""
## [1] "Casal2 adolc_casal_flags_on_low_tol model convergence information"
## [1] "[IMPORTANT] FMM: Max newton steps (5)"
## [2] "FMM: Max newton steps (5)"

## [1] "CASAL model warnings"
##                  parameter estimate lower.bound upper.bound
## 1   recruitment[E].YCS[25]     0.06        0.06         8.6
## 2   recruitment[W].YCS[25]     0.06        0.06         8.6
## 3 selectivity[CRsl].all[1]        1           1          17
## 4 selectivity[CRsl].all[2]        1           1          50
## [1] ""
## [1] "CASAL sensitivity 1 model warnings"
##                  parameter estimate lower.bound upper.bound
## 1   recruitment[E].YCS[25]     0.06        0.06         8.6
## 2   recruitment[W].YCS[25]     0.06        0.06         8.6
## 3 selectivity[CRsl].all[1]        1           1          17
## 4 selectivity[CRsl].all[2]        1           1          50
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
##  [7] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [8] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [9] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [10] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
## [11] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
## [12] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
## [13] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [14] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [15] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
## [16] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [17] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [18] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [19] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
## [1] ""
## [1] "Casal2 betadiff_casal_flags_off model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
##  [7] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [8] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [9] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [10] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
## [11] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
## [12] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
## [13] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [14] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [15] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
## [16] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [17] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [18] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [19] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on_low_tol model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
##  [7] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [8] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [9] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [10] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [11] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [1] ""
## [1] "Casal2 adolc_casal_flags_on model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
##  [7] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [8] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [9] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [10] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [11] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
## [1] ""
## [1] "Casal2 adolc_casal_flags_off model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
##  [7] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [8] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [9] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [10] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [11] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
## [1] ""
## [1] "Casal2 adolc_casal_flags_on_low_tol model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
##  [7] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [8] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [9] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [10] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [11] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"

1.5 Matching of outputs

Time series comparisons with CASAL base model results

## [1] "Catch time series base model comparison for run betadiff_casal_flags_on"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run betadiff_casal_flags_off"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run betadiff_casal_flags_on_low_tol"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_on"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_off"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_on_low_tol"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""

Derived quantities

SB0, SBcurrent, MSY, F_MSY, others…

1.6 Plots

Comparison plots

## [1] "CASAL base parameter correlation range (excluding 1.0): -0.9914 0.9969"

## [1] "CASAL sensitivity 1 parameter correlation range (excluding 1.0): -0.9324 0.9968"

## [1] "Casal2 betadiff_casal_flags_on parameter correlation range (excluding 1.0): -0.890942874908357 0.996776606630884"

## Warning in min(x): no non-missing arguments to min; returning Inf

## Warning in max(x): no non-missing arguments to max; returning -Inf

## [1] "Casal2 betadiff_casal_flags_off parameter correlation range (excluding 1.0): Inf -Inf"

## [1] "Casal2 betadiff_casal_flags_on_low_tol parameter correlation range (excluding 1.0): -0.939452660139753 0.996798182627236"

## [1] "Casal2 adolc_casal_flags_on parameter correlation range (excluding 1.0): -0.883243800438931 0.996698553552037"

## [1] "Casal2 adolc_casal_flags_off parameter correlation range (excluding 1.0): -0.887199176292272 0.996753693490936"

## [1] "Casal2 adolc_casal_flags_on_low_tol parameter correlation range (excluding 1.0): -0.928187528764059 0.99670453783595"